Amor SP Understanding socio-spatial emotions of urban poor in São Paulo

Abstract

In the last decades, the quantity of information produced and distributed due to digital resources has been growing; big data is contributing to a better perception of our cities. The aim of this paper is to understand spatial segregation in the city of São Paulo (a city known by its social inequality and urban poverty) by scraping social media tags of emotions. We compared aspects that suggest socio-spatial inequalities: urban poor versus feelings of love and hate, versus feelings of joy and fear and the social vulnerability index as background. Three issues are considered in this research: the emergence of urban space big data, digital inclusion, and architects and urbanists' access to big data. To unveil urban poor singularities through social media is an opportunity to reconnect communities to urban design.